Fidan Mahmudova

Robotics Engineer with hands-on experience in deep learning and computer vision, specializing in autonomous systems development. Strong background in both research (robotics navigation systems) and industry applications (automation and control systems).

Technofest Competition

• Team "Istiqlal" - 1st place winner in CanSat category
• Programmed Raspberry Pi to integrate and manage diverse sensors (GPS, IMU, etc.) for a Satellite model

OBJECT-CENTRIC LOCAL NAVIGATION FOR QUADRUPED ROBOTS | MS Thesis

Developed imitation learning pipeline with encoder-MLP architecture, implementing vision encoders (ResNet18, DINOv2, Grounded SAM2) with cross-attention mechanisms, achieving 98% navigation accuracy

LIDAR-GUIDED SAMPLE DELIVERY SYSTEM | CSCI5551

Implemented Bug 2 path planning algorithm for autonomous TurtleBot3 navigation across complex terrain using LIDAR perception

LUNG TUMOR SEGMENTATION | EE5561

Co-developed modified U-Net and Res U-Net architectures for accurate tumor detection in CT medical images

HUMAN-ROBOT INTERACTION WITH LLM | CSCI5541

Set up PyBullet simulation environment for empathetic social robot using large language models for context-aware responses